Experiment design: We compare ConAM with currently popular models. To fully demonstrate the excellent performance of ConAM, we compare it with four different groups of CNNs, including the classic models designed manually, the models searched by NAS, and the models based on the attention mechanism. The models searched by NAS are divided into semi-automatic and full-automatic searched models according to the search method. We use ConAM-ResNet-101, in which ConAM with ReLu [1]} uses two combinations, Softmax with [8, 8, 4, 0] and Sigmoid with [8, 8, 4, 0], because these two combinations get the best performance on CIFAR-10 [2]} and CIFAR-100 [2]} in the above experiments.
